Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Ligue 1: Team with Most Clean Sheets 2026-27

Name: Ligue 1: Team with Most Clean Sheets 2026-27
End: 2027-07-01T03:59:00.000Z

Total Volume

$0.00

Events

Markets

Trade on Polymarket

Ligue 1: Team with Most Clean Sheets 2026-27

Vol

$0.00

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

18 markets tracked

Will Angers keep the most clean sheets in the 2026-27 Ligue 1?

No data available

Single-Platform Markets(18)

Market	Platform	Price
Will Angers keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Auxerre keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Brest keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Le Havre keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Le Mans keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Lens keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Lille keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Lorient keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Lyon keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Marseille keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Monaco keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Nice keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Paris Saint-Germain keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Rennes keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Strasbourg keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Toulouse keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Troyes keep the most clean sheets in the 2026-27 Ligue 1?	Poly	43%
Will Paris FC keep the most clean sheets in the 2026-27 Ligue 1?	Poly	42%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

43%

Top Probability

$0.00

Volume

Markets

Platforms

About This Event

This market will resolve in favor of the team that finishes the 2026-27 Ligue 1 season with the most clean sheets. A clean sheet is defined as a match in which the team concedes zero goals. In the event of a tie, this market will resolve in favor of the team with the fewest total goals conceded during the 2026-27 Ligue 1 season. If a tie still persists, this market will resolve in favor of the team with the higher final standing in the 2026-27 Ligue 1. If a tie still persists, this market will

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Ligue 1: Team with Most Clean Sheets 2026-27
**Category:** Sports | **Status:** active
**Resolution Date:** Jul 1, 2027 (263 days left)
**Time Pressure:** Low

**Description:** This market will resolve in favor of the team that finishes the 2026-27 Ligue 1 season with the most clean sheets. A clean sheet is defined as a match in which the team concedes zero goals.

In the event of a tie, this market will resolve in favor of the team with the fewest total goals conceded during the 2026-27 Ligue 1 season. If a tie still persists, this market will resolve in favor of the team with the higher final standing in the 2026-27 Ligue 1. If a tie still persists, this market will 

**Resolution Criteria (Sample):**
"This market will resolve in favor of the team that finishes the 2026-27 Ligue 1 season with the most clean sheets. A clean sheet is defined as a match in which the team concedes zero goals.

In the event of a tie, this market will resolve in favor of the team with the fewest total goals conceded dur"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $279
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will Angers keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 2. Will Auxerre keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 3. Will Brest keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 4. Will Le Havre keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 5. Will Le Mans keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 6. Will Lens keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 7. Will Lille keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 8. Will Lorient keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 9. Will Lyon keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 10. Will Marseille keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 11. Will Monaco keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 12. Will Nice keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 13. Will Paris FC keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 42.0% (0.0%)] | [No: 58.0% (0.0%)]

### 14. Will Paris Saint-Germain keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 15. Will Rennes keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 16. Will Strasbourg keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 17. Will Toulouse keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 18. Will Troyes keep the most clean sheets in the 2026-27 Ligue 1?
- **Polymarket** (End: Jul 1, 2027): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETSports